1 to 2 Weeks
Typical launch window
Includes AI workflow setup, document processing rules, and pipeline automation testing.
Reception, chatbots, and intake
CA Clerx AI
Automatically create new leads in Lawmatics via client information collected from Clerx AI using the Lawmatics API.
Certified build path
Data-safe rollout
Go-live support
Partner-grade
Implementation controls
Execution-ready
Rollout playbook
Implementation Proof
From kickoff through post-go-live support
Automated
Document processing
Clerx AI processes intake documents and extracts key data points into Lawmatics fields.
"Clerx AI reads our intake documents and pulls out the details our team used to enter manually. MHSB connected it so the extracted data flows straight into Lawmatics custom fields."
Need the right implementation path first?
MHSB does more than connect tools. We help law firms choose the right Lawmatics audit, build, and optimization sequence before configuration begins.
Book a Strategy Consultation
Review Clerx AI mapping, workflow impact, QA controls, and rollout priorities with MHSB.
Audit vs Build Guide
Choose whether your firm needs an audit, a scoped build, or a phased combination before implementation starts.
How MHSB Works
See our fixed-fee delivery model for audits, custom builds, QA, training, and launch support.
Lawmatics Implementation FAQ
Get answers on timelines, scope, training, integrations, and ongoing support.
What You Get With This Integration
- Matter and contact created in Lawmatics from information collected from Clerx AI
- See transcript of initial contact in a note on the matter
- Appointments scheduled using Clerx AI will appear in your Lawmatics calendar
- AI receptionist handles inbound calls and chats, capturing lead details without requiring live staff
- Full conversation transcripts attached to matter notes give attorneys complete context before follow-up
Integration Feature Details
AI-powered lead capture
Clerx AI handles inbound calls and chat interactions, collecting prospect information through natural conversation. The collected data is pushed into Lawmatics via the API, creating a new contact and matter with all relevant fields populated and ready for intake review.
Conversation transcripts as matter notes
Every Clerx AI interaction generates a full transcript that is attached as a note on the corresponding matter in Lawmatics. This gives attorneys and intake coordinators complete visibility into what the prospect discussed, what questions they asked, and what information they provided before any human follow-up occurs.
Consultation scheduling
Clerx AI can book consultation appointments during the conversation, with scheduled events syncing directly to the host's Lawmatics calendar. This removes the back-and-forth of scheduling and captures prospect commitment while interest is highest.
Partner Implementation Blueprint
Estimated timeline: 1 to 2 weeks including API connection, field mapping, transcript formatting, automation setup, and QA testing.
- 1
Connect your Clerx AI account to Lawmatics and verify API credentials are active and authorized.
- 2
Map Clerx AI data fields to the corresponding Lawmatics contact and matter custom fields for your firm's intake workflow.
- 3
Configure transcript formatting preferences so matter notes are consistently structured and easy for staff to review.
- 4
Set up Lawmatics automations to trigger follow-up emails, task assignments, or pipeline stage changes when a new Clerx AI lead arrives.
- 5
Run test interactions through Clerx AI and validate that contacts, matters, notes, and scheduled appointments appear correctly in Lawmatics.
QA Checklist
- New Clerx AI leads create a contact and matter in Lawmatics with all mapped fields correctly populated.
- Conversation transcripts appear as formatted, readable notes on the matter record.
- Scheduled appointments sync to the correct host calendar with proper time, location, and attendee details.
- Lawmatics automations trigger as expected when Clerx AI creates a new lead record.
Common Handoff Risks
- If transcript note formatting is not configured during setup, attorneys may receive unstructured or difficult-to-read conversation records.
- Incomplete field mapping between Clerx AI and Lawmatics can produce matter records missing critical intake data.
- Firms that do not configure source tagging will have difficulty distinguishing Clerx AI leads from other intake channels in reporting.
When This Integration Is the Right Fit
- Answer inbound phone calls and chat inquiries with an AI receptionist when intake staff are unavailable or during after-hours periods.
- Capture detailed conversation transcripts so attorneys can review prospect needs before the initial consultation rather than relying on brief intake notes.
- Route AI-collected leads into practice-area-specific Lawmatics pipelines based on the type of legal matter discussed during the conversation.
- Book consultations during the AI interaction to reduce time-to-first-appointment and prevent leads from shopping competing firms.
How This Fits into a Lawmatics Implementation Plan
A strong Clerx AI integration only works when field mapping, workflow ownership, QA, and team training are designed together. MHSB typically scopes this work as part of a Lawmatics audit, implementation project, or post-launch optimization engagement.
MHSB Integration Notes
MHSB Implementation Perspective
MHSB configures and optimizes the Clerx AI + Lawmatics workflow so your intake handoff, matter updates, and follow-up automations stay consistent as your firm scales. We handle the API connection, field mapping, transcript formatting, and automation triggers that turn AI conversations into structured intake records your team can act on immediately.
Source-Aligned Overview
Automatically create new leads in Lawmatics via client information collected from Clerx AI using the Lawmatics API. Clerx AI serves as an AI-powered receptionist that captures prospect details through natural conversation, attaches full transcripts to matter notes, and books consultations directly onto your Lawmatics calendar.
The Value of Conversation Transcripts in Legal Intake
One of the most valuable aspects of the Clerx AI integration is the full conversation transcript attached to each matter as a note. In traditional intake workflows, the information that reaches an attorney is often a brief summary written by a receptionist or a few form fields. With Clerx AI, the entire interaction is preserved.
This means attorneys can review exactly what the prospect described about their legal situation, what questions they asked, and what concerns they raised before the first human conversation takes place. For practice areas like family law or personal injury where emotional context matters, this level of detail changes how effectively the firm can respond during follow-up.
Scaling Intake Without Scaling Headcount
Law firms that experience growth often face a staffing bottleneck at intake. Hiring additional receptionists or intake coordinators is expensive and takes time. Clerx AI provides an immediate scaling solution by handling inbound calls and chats during peak periods, after hours, and weekends.
MHSB configures the integration so that Clerx AI leads flow into the same Lawmatics pipelines as leads from other sources. Your team works from a single intake queue regardless of whether the lead came from a live receptionist, a web form, or an AI conversation. This consistency simplifies training, reporting, and quality control as your firm grows.
Measuring AI Intake Performance
MHSB configures source attribution in Lawmatics so your firm can track Clerx AI leads separately from other channels. This allows you to measure conversion rates, time-to-first-appointment, and revenue attribution for AI-sourced leads, giving firm leadership the data they need to evaluate whether Clerx AI is delivering ROI and where adjustments might improve performance.
Integration FAQ
How is Clerx AI different from a traditional answering service?
Clerx AI uses artificial intelligence to handle conversations, collect structured data, and push it directly into Lawmatics via API. Unlike a human answering service, it operates without per-minute billing and delivers consistent, structured data every time.
Will the conversation transcript include everything the prospect said?
Yes. Clerx AI captures the full interaction and attaches it as a note on the matter. MHSB configures the formatting so transcripts are easy to scan before follow-up calls.
Can Clerx AI handle multiple practice areas?
Yes. During setup, MHSB configures routing rules so leads are tagged by practice area based on the conversation content, allowing Lawmatics automations to route them to the appropriate pipeline.
What if a Clerx AI lead already exists as a contact in Lawmatics?
Lawmatics duplicate detection rules apply. MHSB configures your duplicate handling preferences during setup so existing contacts are updated with new conversation data rather than creating duplicate records.
Can we use Clerx AI alongside a live receptionist service?
Yes. Many firms use Clerx AI for after-hours and overflow coverage while maintaining a live receptionist during business hours. MHSB configures both workflows to feed into the same Lawmatics intake pipeline.
Implementation Packages
Choose Your Clerx AI Implementation Path
MHSB can execute this integration as a focused sprint, a production hardening engagement, or a full operating-system rollout.
Most Selected
Clerx AI Launch Sprint
Document processing configuration, field extraction mapping, and pipeline automation setup.
Ideal for: Firms adding AI document processing to streamline intake data entry.
Related Reception, chatbots, and intake Integrations
Launch Clerx AI in Your Lawmatics Workflow
Get MHSB support to configure mapping, automations, and data quality checks for your integration rollout.
Trusted by leading law firms nationwide
Certified Experts
100+ firms served